unsupervised-learning

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Unsupervised Learning for Image Registration

Algorithms for outlier, adversarial and drift detection

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

A curated list of community detection research papers with implementations.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

Unsupervised time series anomaly detection library

A comprehensive list of awesome contrastive self-supervised learning papers.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Complete-Life-Cycle-of-a-Data-Science-Project